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Governed infrastructure

Choose dependencies deliberately.

Nucleus AI uses the client’s own cloud tenancy by default and documents the services and data flows the system depends on. This is not an argument against cloud computing; it is an argument for making infrastructure and model dependencies visible and governable.

Default architecture narrative

A visible path from approved material to human review.

The default client-cloud implementation follows a defined sequence, with access, external calls, operating responsibility, and review made explicit.

Client-governed deployment boundary

A documented path. Defined responsibilities.

The default client-cloud path is shown. Any external calls depend on the signed scope.

  1. 01

    Approved business material and systems

    Client-governed input

  2. 02

    Client cloud tenancy by default

    Access and data governance

  3. 03

    Configured workflow and approved services

    Data flow defined in the architecture

  4. 04

    Employee use and human review

    Business accountability

  5. 05

    Support, monitoring, and refresh

    Nucleus operations

Deployment paths

Client cloud by default. Optional hosting only when scoped.

The right path depends on the client’s capability, risk requirements, architecture, and agreement.

Default path

Client-owned cloud tenancy

The system is deployed in the cloud account the client governs. The client controls account access, applies its identity and governance decisions, and pays its cloud provider directly. The documented architecture identifies the services used and any external calls.

Case-by-case option

Separately scoped hosted path

A hosted option may be considered when a client lacks suitable cloud capability. Availability, infrastructure, access, controls, data flows, commercial terms, and exit rights are evaluated for that engagement. This page does not promise a standard hardware or tenancy configuration.

Avoid unnecessary dependency

Cloud computing is not the problem.

The question is which dependencies the workflow needs and how the business will govern them.

  • Third-party and frontier services can bring provider-controlled pricing, version changes, data-processing boundaries, rate limits, and operational dependencies.
  • Those services may still be appropriate when their capabilities fit the work and the architecture and signed scope allow them.
  • Exact models, service calls, refresh behavior, data flows, and costs are documented for the engagement rather than generalized across every deployment.

Security language

Clear controls before broad claims.

The final design depends on the client’s cloud, identity, material, integrations, retention requirements, external services, and industry obligations. Security and compliance commitments belong in the signed scope and architecture—not in unqualified marketing language.

Tell us what you want AI to run.

Answer a short intake and get a project brief PDF right away. Send it to us, and our team returns a reviewed build plan before we ever talk price.